Displaying publications 1 - 20 of 24 in total

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  1. The mediating role of cognitive flexibility in the relationship between cognitive emotion regulation strategies and mindfulness in patients with type 2 diabetes
    Motevalli S, Salahshour HM, Bailey RP
    J Affect Disord, 2023 Oct 15;339:676-682.
    PMID: 37479040 DOI: 10.1016/j.jad.2023.07.043
    INTRODUCTION: This study aimed to examine the mediating role of cognitive flexibility in the relationship between cognitive emotion regulation strategies and mindfulness in patients with type 2 diabetes.

    METHODS: The research was conducted by correlation method) using Structural Equation Modeling). The statistical population consisted of all women and men with type 2 diabetes. Two hundred fifty-three samples were selected by convenience sampling method. The participants responded to the Cognitive Emotion Regulation Questionnaire, the Kentucky inventory of mindfulness skills, and the Cognitive Flexibility Inventory.

    RESULTS: The results showed that the total path coefficient between the adaptive cognitive emotion regulation strategies and mindfulness (β = 0.243, P = 0.005) was positive and significant, and the total path coefficient between the maladaptive cognitive emotion regulation strategies and mindfulness (β = -0.453, P = 0.001) was negative and significant. The path coefficient between cognitive flexibility and mindfulness (β = 0.273, P = 0.009) was positive and significant. The indirect path coefficient between the adaptive cognitive emotion regulation strategies and mindfulness (β = 0.094, P = 0.007) was positive and significant, and the indirect path coefficient between the maladaptive cognitive emotion regulation strategies and mindfulness (β = -0.117, P = 0.009) was negative and significant.

    CONCLUSION: Improving emotion regulation skills increases cognitive flexibility and mindfulness in patients with type 2 diabetes.

    Matched MeSH terms: Emotions/physiology
  2. Analysis of emotionality and locomotion in radio-frequency electromagnetic radiation exposed rats
    Narayanan SN, Kumar RS, Paval J, Kedage V, Bhat MS, Nayak S, et al.
    Neurol Sci, 2013 Jul;34(7):1117-24.
    PMID: 22976773 DOI: 10.1007/s10072-012-1189-4
    In the current study the modulatory role of mobile phone radio-frequency electromagnetic radiation (RF-EMR) on emotionality and locomotion was evaluated in adolescent rats. Male albino Wistar rats (6-8 weeks old) were randomly assigned into the following groups having 12 animals in each group. Group I (Control): they remained in the home cage throughout the experimental period. Group II (Sham exposed): they were exposed to mobile phone in switch-off mode for 28 days, and Group III (RF-EMR exposed): they were exposed to RF-EMR (900 MHz) from an active GSM (Global system for mobile communications) mobile phone with a peak power density of 146.60 μW/cm(2) for 28 days. On 29th day, the animals were tested for emotionality and locomotion. Elevated plus maze (EPM) test revealed that, percentage of entries into the open arm, percentage of time spent on the open arm and distance travelled on the open arm were significantly reduced in the RF-EMR exposed rats. Rearing frequency and grooming frequency were also decreased in the RF-EMR exposed rats. Defecation boli count during the EPM test was more with the RF-EMR group. No statistically significant difference was found in total distance travelled, total arm entries, percentage of closed arm entries and parallelism index in the RF-EMR exposed rats compared to controls. Results indicate that mobile phone radiation could affect the emotionality of rats without affecting the general locomotion.
    Matched MeSH terms: Emotions/physiology*
  3. Life scripts for emotionally charged autobiographical memories: A cultural explanation of the reminiscence bump
    Haque S, Hasking PA
    Memory, 2010 Oct;18(7):712-29.
    PMID: 20803371 DOI: 10.1080/09658211.2010.506442
    Two studies examined the ability of the life script account to explain the reminiscence bump for emotionally charged autobiographical memories among Malaysian participants. In Study 1 volunteers, aged 50-90 years, participated in a two-phased task. In the first phase, participants estimated the timing of 11 life events (both positive and negative) that may occur in a prototypical life course within their own culture. Two weeks later the participants retrieved the same set of events from their lives and reported how old they were when those events occurred. In the second study 92 undergraduate students produced life scripts for the same 11 events. The findings revealed reminiscence bumps in both life script and retrieval curves for the memories judged happiest, most important, most in love, and most jealous. A reminiscence bump was also noted for success, although this was later in the lifespan than other reminiscence bumps. It was suggested that the life scripts can be used as an alternative account for the reminiscence bump, for highly positive and occasionally for negative autobiographical memories.
    Matched MeSH terms: Emotions/physiology*
  4. Cross-cultural similarities and differences in the experience of awe
    Razavi P, Zhang JW, Hekiert D, Yoo SH, Howell RT
    Emotion, 2016 Dec;16(8):1097-1101.
    PMID: 27632153
    Current research on awe is limited to Western cultures. Thus, whether the measurement, frequency, and consequences of awe will replicate across non-Western cultures remains unanswered. To address this gap, we validated the dispositional awe scale (Shiota, Keltner, & John, 2006) in 4 countries (United States, Iran, Malaysia, and Poland; N = 1,173) with extensive variations in cultural values (i.e., power distance) and personality profiles (i.e., extraversion and openness). Multigroup factor analyses demonstrated that, across all cultures, a 3-factor model that treats awe, amusement, and pride as 3 unique emotions is superior to a single-factor model that clusters all 3 emotions together. Structurally, the scales of awe, amusement and pride were invariant across all countries. Furthermore, we found significant country-level differences in dispositional awe, with the largest discrepancy between the United States and Iran (d = 0.79); these differences are not likely due to cultural response biases. Results are discussed in terms of possible explanations for country-level differences and suggestions for future research. (PsycINFO Database Record
    Matched MeSH terms: Emotions/physiology*
  5. Fulltext An EEG Database and Its Initial Benchmark Emotion Classification Performance
    Seal A, Reddy PPN, Chaithanya P, Meghana A, Jahnavi K, Krejcar O, et al.
    Comput Math Methods Med, 2020;2020:8303465.
    PMID: 32831902 DOI: 10.1155/2020/8303465
    Human emotion recognition has been a major field of research in the last decades owing to its noteworthy academic and industrial applications. However, most of the state-of-the-art methods identified emotions after analyzing facial images. Emotion recognition using electroencephalogram (EEG) signals has got less attention. However, the advantage of using EEG signals is that it can capture real emotion. However, very few EEG signals databases are publicly available for affective computing. In this work, we present a database consisting of EEG signals of 44 volunteers. Twenty-three out of forty-four are females. A 32 channels CLARITY EEG traveler sensor is used to record four emotional states namely, happy, fear, sad, and neutral of subjects by showing 12 videos. So, 3 video files are devoted to each emotion. Participants are mapped with the emotion that they had felt after watching each video. The recorded EEG signals are considered further to classify four types of emotions based on discrete wavelet transform and extreme learning machine (ELM) for reporting the initial benchmark classification performance. The ELM algorithm is used for channel selection followed by subband selection. The proposed method performs the best when features are captured from the gamma subband of the FP1-F7 channel with 94.72% accuracy. The presented database would be available to the researchers for affective recognition applications.
    Matched MeSH terms: Emotions/physiology
  6. Developments in the functions of autobiographical memory: An advanced review
    Sow F, Dijkstra K, Janssen SMJ
    Wiley Interdiscip Rev Cogn Sci, 2023;14(3):e1625.
    PMID: 36165349 DOI: 10.1002/wcs.1625
    In this advanced review, the development of the three most commonly used functions of autobiographical memory-directing behavior, social bonding, and self-continuity-and the support they have received in the literature are discussed. Support for this tripartite model often comes from correlational studies that use self-report measures, but participants in these studies may not be aware that they retrieved autobiographical memories to fulfill certain goals. Not only is more experimental research needed to confirm the findings from correlational studies, this kind of research needs to be more rigorous. Moreover, the functions of the tripartite model may not be the only autobiographical memory functions that can be distinguished. For example, there is already substantial support for the emotion-regulation function. Although memories can be used for multiple functions, patterns between aspects of the event (e.g., emotional valence) or memory (e.g., specificity) and their functionality have been found. In addition, individual differences (e.g., cultural background, depression symptoms) and situational factors (e.g., is there a goal that needs to be fulfilled) may regulate the functional deployment of autobiographical memories. Future research should therefore extend its focus on the conditions in which these functions can be observed. This article is categorized under: Psychology > Memory.
    Matched MeSH terms: Emotions/physiology
  7. Fulltext Comparing the experience of regret and its predictors among smokers in four Asian countries: findings from the ITC surveys in Thailand, South Korea, Malaysia, and China
    Sansone N, Fong GT, Lee WB, Laux FL, Sirirassamee B, Seo HG, et al.
    Nicotine Tob Res, 2013 Oct;15(10):1663-72.
    PMID: 23509091 DOI: 10.1093/ntr/ntt032
    Nearly all smokers in high-income Western countries report that they regret smoking (Fong, G. T., Hammond, D., Laux, F. L., Zanna, M. P., Cummings, M. K., Borland, R., & Ross, H. [2004]. The near-universal experience of regret among smokers in four countries: Findings from the International Tobacco Control Policy Evaluation Survey. Nicotine and Tobacco Research, 6, S341-S351. doi:10.1080/14622200412331320743), but no research to date has examined the prevalence of regret among smokers in non-Western, low- and middle-income countries.
    Matched MeSH terms: Emotions/physiology*
  8. Fulltext Review of emotion recognition in stroke patients
    Yuvaraj R, Murugappan M, Norlinah MI, Sundaraj K, Khairiyah M
    Dement Geriatr Cogn Disord, 2013;36(3-4):179-96.
    PMID: 23899462 DOI: 10.1159/000353440
    OBJECTIVE: Patients suffering from stroke have a diminished ability to recognize emotions. This paper presents a review of neuropsychological studies that investigated the basic emotion processing deficits involved in individuals with interhemispheric brain (right, left) damage and normal controls, including processing mode (perception) and communication channels (facial, prosodic-intonational, lexical-verbal).
    METHODS: An electronic search was conducted using specific keywords for studies investigating emotion recognition in brain damage patients. The PubMed database was searched until March 2012 as well as citations and reference lists. 92 potential articles were identified.
    RESULTS: The findings showed that deficits in emotion perception were more frequently observed in individuals with right brain damage than those with left brain damage when processing facial, prosodic and lexical emotional stimuli.
    CONCLUSION: These findings suggest that the right hemisphere has a unique contribution in emotional processing and provide support for the right hemisphere emotion hypothesis.
    SIGNIFICANCE:
    This robust deficit in emotion recognition has clinical significance. The extent of emotion recognition deficit in brain damage patients appears to be correlated with a variety of interpersonal difficulties such as complaints of frustration in social relations, feelings of social discomfort, desire to connect with others, feelings of social disconnection and use of controlling behaviors.
    Matched MeSH terms: Emotions/physiology*
  9. Exploring the needs and challenges of parents and their children in childhood epilepsy care: A qualitative study
    Wo SW, Ong LC, Low WY, Lai PSM
    Epilepsy Behav, 2018 11;88:268-276.
    PMID: 30321756 DOI: 10.1016/j.yebeh.2018.09.018
    Because of the nature of epilepsy, and the unpredictability of seizure recurrence, epilepsy requires long-term treatment with medications. As a consequence, epilepsy has a negative pervasive impact in children with epilepsy (CWE), and their parents. Hence, our aim was to explore the needs and challenges of parents and their CWE. In-depth interviews (IDIs) were conducted with 15 families (12 mothers and 3 fathers) and 15 CWE (aged 8-18 years). Data were transcribed verbatim and thematically analyzed using the descriptive phenomenology approach. The experiences of parents and their CWE could be divided into two time frames: "experiences during a child's first seizure" and "experiences whilst growing up with epilepsy". Parents' main concerns and worries were regarding their child's physical health, psychological and emotional wellbeing, academic achievement, and future. The children's main concerns were restrictions imposed, their interpersonal relationship with peers, and being independent in the future. Parents reported that they needed epilepsy-related information, continuity of care, and a parental support group, while CWE reported that their main needs were independence and autonomy. The views of parents and their child with epilepsy were similar in physical functioning and academic achievement. However, parents and children had different views on how epilepsy impacted on the child emotionally, as well as behavioral and interpersonal relationship with peers.
    Matched MeSH terms: Emotions/physiology
  10. Fulltext Investigating Emotion in Malay, Australian and Iranian Individuals with and without Depression
    Jobson L, Mirabolfathi V, Moshirpanahi S, Parhoon H, Gillard J, Mukhtar F, et al.
    Sci Rep, 2019 12 04;9(1):18344.
    PMID: 31797979 DOI: 10.1038/s41598-019-54775-x
    This study investigated the influence of culture and depression on (1) emotion priming reactions, (2) the recall of subjective experience of emotion, and (3) emotion meaning. Members of individualistic culture (Australia, n = 42) and collectivistic culture (Iran, n = 32, Malaysia, n = 74) with and without depression completed a biological motion task, subjective experience questionnaire and emotion meaning questionnaire. Those with depression, regardless of cultural group, provided significantly fewer correct responses on the biological motion task than the control group. Second, the collectivistic control groups reported greater social engaging emotion than the Australian control group. However, the three depressed groups did not differ culturally. The Australian depressed group reported significantly greater interpersonally engaging emotion than the Australian control group. Third, the collectivistic groups reported significantly greater social worth, belief changes and sharing of emotion than the individualistic group. Depression did not influence these cultural effects. Instead we found that those with depression, when compared to controls, considered emotions as subjective phenomena, that were qualifying for relationships with others, and associated with greater agency appraisals. The applicability of the biocultural framework of emotion in depression was considered.
    Matched MeSH terms: Emotions/physiology*
  11. Fulltext I feel you: the design and evaluation of a domotic affect-sensitive spoken conversational agent
    Lutfi SL, Fernández-Martínez F, Lorenzo-Trueba J, Barra-Chicote R, Montero JM
    Sensors (Basel), 2013;13(8):10519-38.
    PMID: 23945740 DOI: 10.3390/s130810519
    We describe the work on infusion of emotion into a limited-task autonomous spoken conversational agent situated in the domestic environment, using a need-inspired task-independent emotion model (NEMO). In order to demonstrate the generation of affect through the use of the model, we describe the work of integrating it with a natural-language mixed-initiative HiFi-control spoken conversational agent (SCA). NEMO and the host system communicate externally, removing the need for the Dialog Manager to be modified, as is done in most existing dialog systems, in order to be adaptive. The first part of the paper concerns the integration between NEMO and the host agent. The second part summarizes the work on automatic affect prediction, namely, frustration and contentment, from dialog features, a non-conventional source, in the attempt of moving towards a more user-centric approach. The final part reports the evaluation results obtained from a user study, in which both versions of the agent (non-adaptive and emotionally-adaptive) were compared. The results provide substantial evidences with respect to the benefits of adding emotion in a spoken conversational agent, especially in mitigating users' frustrations and, ultimately, improving their satisfaction.
    Matched MeSH terms: Emotions/physiology*
  12. The Time Course of Activity within the Dorsal and Rostral-Ventral Anterior Cingulate Cortex in the Emotional Stroop Task
    Feroz FS, Leicht G, Steinmann S, Andreou C, Mulert C
    Brain Topogr, 2017 Jan;30(1):30-45.
    PMID: 27659288 DOI: 10.1007/s10548-016-0521-3
    Growing evidence from neuroimaging studies suggest that emotional and cognitive processes are interrelated. Anatomical key structures in this context are the dorsal and rostral-ventral anterior cingulate cortex (dACC and rvACC). However, up to now, the time course of activations within these regions during emotion-cognition interactions has not been disentangled. In the present study, we used event-related potentials (ERP) and standardized low-resolution electromagnetic tomography (sLORETA) region of interest (ROI) source localization analyses to explore the time course of neural activations within the dACC and rvACC using a modified emotional Stroop paradigm. ERP components related to Stroop conflict (N200, N450 and late negativity) were analyzed. The time course of brain activations in the dACC and rvACC was strikingly different with more pronounced initial responses in the rvACC followed by increased dACC activity mainly at the late negativity window. Moreover, emotional valence modulated the earlier N450 stage within the rvACC region with higher neural activations in the positive compared to the negative and neutral conditions. Emotional arousal modulated the late negativity stage; firstly in the significant arousal × congruence ERP effect and then the significant higher current density in the low arousal condition within the dACC. Using sLORETA source localization, substantial differences in the activation time courses in the dACC and rvACC could be found during the emotional Stroop task. We suggest that during late negativity, within the dACC, emotional arousal modulated the processing of response conflict, reflected in the correlation between the ex-Gaussian µ and the current density in the dACC.
    Matched MeSH terms: Emotions/physiology*
  13. Fulltext The Time Course of Dorsal and Rostral-Ventral Anterior Cingulate Cortex Activity in the Emotional Stroop Experiment Reveals Valence and Arousal Aberrant Modulation in Patients with Schizophrenia
    Feroz FS, Leicht G, Rauh J, Mulert C
    Brain Topogr, 2019 01;32(1):161-177.
    PMID: 30288663 DOI: 10.1007/s10548-018-0677-0
    This paper aims to investigate the temporal dynamics within the dorsal anterior cingulate cortex (dACC) and the rostral-ventral (rv) ACC during the interaction of emotional valence and arousal with cognitive control in patients with Schizophrenia (SZ). Although cognitive deficits in SZ are highly relevant and emotional disturbances are common, the temporal relationship of brain regions involved in the interaction of emotional and cognitive processing in SZ is yet to be determined. To address this issue, the reaction time (RT), event-related potential (ERP) and temporal dynamics of the dACC and rvACC activity were compared between SZ subjects and healthy controls (HC), using a modified emotional Stroop experiment (with factors namely congruence, arousal and valence). EEG was recorded with 64 channels and source localisation was performed using the sLORETA software package. We observed slower initial increase and lower peaks of time course activity within the dACC and rvACC in the SZ group. In this particular group, the dACC activity during late negativity was negatively correlated with a significantly higher RT in the high arousal conflict condition. In contrast to HC subjects, at the N450 window, there was no significant valence (ERP and rvACC ROI) modulation effect in the SZ subjects. Using high density EEG and source localisation, it was possible to distinguish various disturbances within the dACC and rvACC in patients with SZ, during emotion-cognition processing.
    Matched MeSH terms: Emotions/physiology*
  14. Optimal set of EEG features for emotional state classification and trajectory visualization in Parkinson's disease
    Yuvaraj R, Murugappan M, Ibrahim NM, Sundaraj K, Omar MI, Mohamad K, et al.
    Int J Psychophysiol, 2014 Dec;94(3):482-95.
    PMID: 25109433 DOI: 10.1016/j.ijpsycho.2014.07.014
    In addition to classic motor signs and symptoms, individuals with Parkinson's disease (PD) are characterized by emotional deficits. Ongoing brain activity can be recorded by electroencephalograph (EEG) to discover the links between emotional states and brain activity. This study utilized machine-learning algorithms to categorize emotional states in PD patients compared with healthy controls (HC) using EEG. Twenty non-demented PD patients and 20 healthy age-, gender-, and education level-matched controls viewed happiness, sadness, fear, anger, surprise, and disgust emotional stimuli while fourteen-channel EEG was being recorded. Multimodal stimulus (combination of audio and visual) was used to evoke the emotions. To classify the EEG-based emotional states and visualize the changes of emotional states over time, this paper compares four kinds of EEG features for emotional state classification and proposes an approach to track the trajectory of emotion changes with manifold learning. From the experimental results using our EEG data set, we found that (a) bispectrum feature is superior to other three kinds of features, namely power spectrum, wavelet packet and nonlinear dynamical analysis; (b) higher frequency bands (alpha, beta and gamma) play a more important role in emotion activities than lower frequency bands (delta and theta) in both groups and; (c) the trajectory of emotion changes can be visualized by reducing subject-independent features with manifold learning. This provides a promising way of implementing visualization of patient's emotional state in real time and leads to a practical system for noninvasive assessment of the emotional impairments associated with neurological disorders.
    Matched MeSH terms: Emotions/physiology*
  15. Emotion classification in Parkinson's disease by higher-order spectra and power spectrum features using EEG signals: a comparative study
    Yuvaraj R, Murugappan M, Ibrahim NM, Omar MI, Sundaraj K, Mohamad K, et al.
    J Integr Neurosci, 2014 Mar;13(1):89-120.
    PMID: 24738541 DOI: 10.1142/S021963521450006X
    Deficits in the ability to process emotions characterize several neuropsychiatric disorders and are traits of Parkinson's disease (PD), and there is need for a method of quantifying emotion, which is currently performed by clinical diagnosis. Electroencephalogram (EEG) signals, being an activity of central nervous system (CNS), can reflect the underlying true emotional state of a person. This study applied machine-learning algorithms to categorize EEG emotional states in PD patients that would classify six basic emotions (happiness and sadness, fear, anger, surprise and disgust) in comparison with healthy controls (HC). Emotional EEG data were recorded from 20 PD patients and 20 healthy age-, education level- and sex-matched controls using multimodal (audio-visual) stimuli. The use of nonlinear features motivated by the higher-order spectra (HOS) has been reported to be a promising approach to classify the emotional states. In this work, we made the comparative study of the performance of k-nearest neighbor (kNN) and support vector machine (SVM) classifiers using the features derived from HOS and from the power spectrum. Analysis of variance (ANOVA) showed that power spectrum and HOS based features were statistically significant among the six emotional states (p < 0.0001). Classification results shows that using the selected HOS based features instead of power spectrum based features provided comparatively better accuracy for all the six classes with an overall accuracy of 70.10% ± 2.83% and 77.29% ± 1.73% for PD patients and HC in beta (13-30 Hz) band using SVM classifier. Besides, PD patients achieved less accuracy in the processing of negative emotions (sadness, fear, anger and disgust) than in processing of positive emotions (happiness, surprise) compared with HC. These results demonstrate the effectiveness of applying machine learning techniques to the classification of emotional states in PD patients in a user independent manner using EEG signals. The accuracy of the system can be improved by investigating the other HOS based features. This study might lead to a practical system for noninvasive assessment of the emotional impairments associated with neurological disorders.
    Matched MeSH terms: Emotions/physiology
  16. Fulltext On the analysis of EEG power, frequency and asymmetry in Parkinson's disease during emotion processing
    Yuvaraj R, Murugappan M, Mohamed Ibrahim N, Iqbal M, Sundaraj K, Mohamad K, et al.
    Behav Brain Funct, 2014;10:12.
    PMID: 24716619 DOI: 10.1186/1744-9081-10-12
    While Parkinson's disease (PD) has traditionally been described as a movement disorder, there is growing evidence of disruption in emotion information processing associated with the disease. The aim of this study was to investigate whether there are specific electroencephalographic (EEG) characteristics that discriminate PD patients and normal controls during emotion information processing.
    Matched MeSH terms: Emotions/physiology*
  17. Emotion processing in Parkinson's disease: an EEG spectral power study
    Yuvaraj R, Murugappan M, Omar MI, Ibrahim NM, Sundaraj K, Mohamad K, et al.
    Int J Neurosci, 2014 Jul;124(7):491-502.
    PMID: 24168328 DOI: 10.3109/00207454.2013.860527
    Although an emotional deficit is a common finding in Parkinson's disease (PD), its neurobiological mechanism on emotion recognition is still unknown. This study examined the emotion processing deficits in PD patients using electroencephalogram (EEG) signals in response to multimodal stimuli.
    Matched MeSH terms: Emotions/physiology*
  18. Variations in prestimulus neural activity predict the emotion-enhanced memory effect
    Yick YY, Buratto LG, Schaefer A
    Neuroreport, 2016 08 03;27(11):864-8.
    PMID: 27295027 DOI: 10.1097/WNR.0000000000000628
    Here, we report evidence that electrophysiological neural activity preceding the onset of emotional pictures can predict whether they will be remembered or forgotten 24 h later, whereas the same effect was not observed for neutral pictures. In contrast to previous research, we observed this effect using a paradigm in which participants could not predict the emotional or the neutral content of the pictures before their onset. These effects were obtained alongside significant behavioural effects of superior recognition memory for emotional compared with neutral items. These findings suggest that the preferential encoding of emotional events in memory is determined by fluctuations in the availability of processing resources just before event onset. This explanation argues in favour of mediational models of emotional memory, which contend that emotional information is preferentially encoded because it mobilizes a greater amount of processing resources than neutral information.
    Matched MeSH terms: Emotions/physiology*
  19. The effects of negative emotion on encoding-related neural activity predicting item and source recognition
    Yick YY, Buratto LG, Schaefer A
    Neuropsychologia, 2015 Jul;73:48-59.
    PMID: 25936685 DOI: 10.1016/j.neuropsychologia.2015.04.030
    We report here a study that obtained reliable effects of emotional modulation of a well-known index of memory encoding--the electrophysiological "Dm" effect--using a recognition memory paradigm followed by a source memory task. In this study, participants performed an old-new recognition test of emotionally negative and neutral pictures encoded 1 day before the test, and a source memory task involving the retrieval of the temporal context in which pictures had been encoded. Our results showed that Dm activity was enhanced for all emotional items on a late positivity starting at ~400 ms post-stimulus onset, although Dm activity for high arousal items was also enhanced at an earlier stage (200-400 ms). Our results also showed that emotion enhanced Dm activity for items that were both recognised with or without correct source information. Further, when only high arousal items were considered, larger Dm amplitudes were observed if source memory was accurate. Three main conclusions are drawn from these findings. First, negative emotion can enhance encoding processes predicting the subsequent recognition of central item information. Second, if emotion reaches high levels of arousal, the encoding of contextual details can also be enhanced over and above the effects of emotion on central item encoding. Third, the morphology of our ERPs is consistent with a hybrid model of the role of attention in emotion-enhanced memory (Pottage and Schaefer, 2012).
    Matched MeSH terms: Emotions/physiology*
  20. Associations between family-level adversity and society-level trauma with emotional and behavioural problems amongst children of West Papuan refugees
    Tay AK, Rees S, Kareth M, Mohsin M, Tam N, Silove D
    Eur Child Adolesc Psychiatry, 2021 Jun;30(6):909-920.
    PMID: 32500279 DOI: 10.1007/s00787-020-01569-6
    Few studies have examined associations between family-level parental factors, society-level violence, and the emotional and behavioral status of children of refugee populations. Our study used cross-sectional epidemiological data to test a theoretical model of these key associations amongst a community sample of children (n = 162) of West Papuan refugees living in remote town in Papua New Guinea (PNG), a setting of endemic violence and poverty. Culturally adapted instruments were used to assess three types of intra-familial factors (adverse parenting, physical and/or sexual abuse and emotional abuse) and three types of society-level violence and stressors (exposure to systematic violence, peer violence, living difficulties). Emotional and behavioural problems were assessed using the Youth Self-Report Checklist. Path analysis was used to test theoretical associations. Key findings include direct associations between both family-level physical and/or sexual abuse (β = .43; p 
    Matched MeSH terms: Emotions/physiology*
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